Digital Chart Cartography: Error and Quality control

Transcription

1 Digital Chart Cartography: Error and Quality control Di WU (PHD student) Session7: Advances in Cartography Venue: TU 107 Yantai Institute of Coastal Zone Research, CAS, Yantai , ChinaC Key State Lab of Resources and Environmental Information system, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing , China Dalian Naval Academy

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4 We need to ask a series of questions, beginning with what should spatial accuracy assessment mean in a world in which everyone is a potential user of geospatial data?...this is a very different perspective from the traditional one of the past 14 years, when it was possible to believe that the results of spatial accuracy assessment were of concern only to small elite of geospatial professionals. By Goodchild M., at Spatial Accuracy 2008

5 OUTLINE 1. What does quality mean 2. Actuality of quality control 3. New tetrahedron model concerning user 4. Cartography tetrahedron uncertainty model 5. Discussion and conclusion

6 OUTLINE 1. What does quality mean 2. Actuality of quality control 3. New tetrahedron model concerning user 4. Cartography tetrahedron uncertainty model 5. Discussion and conclusion

7 Quality Assessment Glossary --From viewpoint of ontology High Quality High Accuracy High Accuracy Fit for use Error Uncertainty Practicability Applicability Physics Mathematics Communication Cognition Science

8 OUTLINE 1. What does quality mean 2. Actuality of quality control 3. New tetrahedron model concerning user 4. Cartography tetrahedron uncertainty model 5. Discussion and conclusion

9 Quality Control Model Triangle Reality-Producer Producer-Chart

10 Chart Cartography Procedure Digital Chart 4. Chart output & production 3. Chart data storing and maintenance 2. Chart digitization 1.Data preparing & compiling

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12 OUTLINE 1. What does quality mean 2. Actuality of quality control 3. New tetrahedron model concerning user 4. Cartography tetrahedron uncertainty model 5. Discussion and conclusion

13 Quality Control Model Triangle Reality-Producer Producer-Chart Tetrahedron Reality-Producer Producer-Chart-User

14 OUTLINE 1. What does quality mean 2. Actuality of quality control 3. New tetrahedron model concerning user 4. Cartography tetrahedron uncertainty model 5. Discussion and conclusion

15 Cartography tetrahedron uncertainty model ITEM Representation People action Error describing Uncertainty theory 1 P-R Producer-Reality Cognition Distance angle distortion Probability theory 2 P-C Producer-Chart Design Scanning error Topology logic identify Mathematical statistics 3 R-C Reality-Chart Ontology Error matrix Ontology 4 U-C User-Chart Reading Fuzzy logic Fuzzy theory 5 U-R User-Reality Practise Psychophysical action Psychology theory 6 U-P User-Producer Exchange Communications Information Science

16 Logic model of Certain and Uncertain: From Intension and Extension Logic model Certain Intension Certain extension Certain intension Uncertain extension Uncertain intension Certain extension Uncertain intension Uncertain extension System White System Fuzzy System Gary System Black System Math Equation Physical Eq. Fuzzy Eq. Gary Eq. Stochastic Eq. * Including self-organization Fractal uncertainty

17 OUTLINE 1. What does quality mean 2. Actuality of quality control 3. New tetrahedron model concerning user 4. Cartography tetrahedron uncertainty model 5. Discussion and conclusion

18 5. Discussion Further Study 1. Spatial data error and uncertainty theory is getting more sophisticated, but that only applies to the general GIS and remote sensing data, the special nature of chart data are still not involved, it is necessary to extend the theoretical model of error and quality control and change from the former study of error and uncertainty to user-led evaluation of the suitability. 2. As the chart cartographic data with GIS spatial data in general have both similarities and particularities. Some statistical data need to take into account such as surveys on the navigators, engineers of marine resource investigation or other specific chart users. 3. Man is the most critical part of charts suitability evaluation, but the study of people is the most difficult part at present. This requires multi-disciplinary research, such as cognitive psychology, behavioural science, reliability engineering, management and engineering disciplines.

19 2010 three publications about error theory Wu Di, Hu Hai,, Yang Xiaomei, Zheng yidong,, Zhang Lihua Digital Chart Cartography: Error and Quality control In: the 14th International Symposium on Spatial Data Handling, HongKong.. In press Di Wu, hai HU, Xiaomei Yang. Geographic Interest Square: Theory and Accuracy a a new grid view... In: The 18th International Conference on Geoinformatics,, Beijing, In press EI index Wu Di, Hu Hai,, Du Yunyan Digital chart error theory and quality assessment, In: The 9th International Symposium on Spatial al Accuarcy Assessment in Natural Resources and Environmental Sciences, In press. ISTP index

20 Thanks for your attention!